AI智能代理
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韩扩大政府采购,助推人工智能产业发展
Shang Wu Bu Wang Zhan· 2026-02-14 15:50
同时,政府还将降低AI产品进入政府采购市场的门槛,包括将AI产品注册行政办理时间从8天缩短 至5天、在招标评审中给予AI产品加分,并建立AI领域专业评审制度,推动AI技术在公共部门全面应 用。 此外,政府采购领域还将引入AI智能代理。财政经济部表示,将与调达厅协力,充分发挥政府采购市 场在培育AI产业方面的带动作用。 (原标题:韩扩大政府采购,助推人工智能产业发展) 据韩国《韩国日报》2月4日报道, 韩国政府决定通过政府采购加快推动人工智能(AI)产业发展。 今年政府公共部门AI试点采购规模将扩大至839亿韩元,并计划将AI产品在"创新产品"中的采购比例提 至25%,重点是通过政府采购市场来发掘和扶持AI相关产品与服务。 ...
毕马威:世界对AI的看法已转变
财富FORTUNE· 2025-10-14 13:07
Core Insights - The article discusses the rapid adoption of AI in major U.S. companies, highlighting a significant increase in the deployment of AI agents from 11% to 42% within six months, indicating a fourfold growth [2] - There has been a fundamental shift in perception towards AI, with resistance dropping from 47% to 21%, and over half of employees now accepting or actively engaging with AI tools [2][3] - The relationship between human employees and AI is evolving, with AI being compared to a "toddler" that requires human guidance and supervision, emphasizing the need for human-AI collaboration [4][5] Group 1: AI Adoption and Perception - The deployment of AI agents in companies has surged, with 42% of firms now utilizing them, up from 11% [2] - The perception of AI has shifted from fear to acceptance, with only 21% of employees expressing resistance compared to 47% previously [2] - The technology departments are leading the adoption, with 95% of them using AI to enhance efficiency [2] Group 2: Human-AI Collaboration - AI is not yet capable of fully replacing human employees, necessitating a "human in the loop" approach for effective collaboration [3][4] - Employees view AI as an empowering tool rather than a replacement, fostering a sense of security due to the need for human oversight [4][5] - The skills required in the AI era include critical thinking, questioning ability, and adaptability, which are becoming increasingly important [4] Group 3: Measuring AI Impact - Traditional business metrics are inadequate for capturing the transformative impact of AI, with 78% of leaders acknowledging that conventional KPIs fail to reflect AI's value [6] - Many AI projects have not met expected ROI, indicating a need for new metrics to evaluate AI effectiveness [6] - Companies are now focusing on productivity (97%), profitability (94%), and quality improvement (91%) as key indicators of AI's impact [6] Group 4: Workplace Transformation - The workplace culture is evolving due to AI, requiring entry-level employees to develop higher levels of skepticism, critical thinking, and adaptive reasoning [7] - There is a trend among 56% of leaders to adjust recruitment strategies for entry-level positions to reduce repetitive tasks and increase critical work [8] - The younger generation, accustomed to digital technology, may need to cultivate more skepticism towards AI due to its early-stage development [7]